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49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
import glob
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import logging
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import numpy as np
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from typing_extensions import Literal
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from frigate.detectors.detection_api import DetectionApi
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from frigate.detectors.detector_config import BaseDetectorConfig
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from frigate.detectors.util import preprocess
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logger = logging.getLogger(__name__)
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DETECTOR_KEY = "onnx"
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class ONNXDetectorConfig(BaseDetectorConfig):
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type: Literal[DETECTOR_KEY]
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class ONNXDetector(DetectionApi):
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type_key = DETECTOR_KEY
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def __init__(self, detector_config: ONNXDetectorConfig):
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try:
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import onnxruntime
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logger.info("ONNX: loaded onnxruntime module")
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except ModuleNotFoundError:
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logger.error(
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"ONNX: module loading failed, need 'pip install onnxruntime'?!?"
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)
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raise
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path = detector_config.model.path
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logger.info(f"ONNX: loading {detector_config.model.path}")
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self.model = onnxruntime.InferenceSession(path)
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logger.info(f"ONNX: {path} loaded")
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def detect_raw(self, tensor_input):
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model_input_name = self.model.get_inputs()[0].name
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model_input_shape = self.model.get_inputs()[0].shape
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tensor_input = preprocess(tensor_input, model_input_shape, np.float32)
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tensor_output = self.model.run(None, {model_input_name: tensor_input})[0]
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raise Exception("No models are currently supported via onnx. See the docs for more info.")
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